Abstract parameters base interface. More...
#include <AbstractParameters.h>
  
 Public Member Functions | |
| AbstractParameters () | |
| Constructor.  More... | |
| virtual AbstractParameters * | clone () const =0 | 
| Create a clone copy of this instance.  More... | |
| virtual void | reset ()=0 throw ( te::common::Exception ) | 
| Clear all internal allocated resources and reset the parameters instance to its initial state.  More... | |
| virtual | ~AbstractParameters () | 
| Virtual destructor.  More... | |
Abstract parameters base interface.
Definition at line 42 of file AbstractParameters.h.
| te::common::AbstractParameters::AbstractParameters | ( | ) | 
Constructor.
Definition at line 29 of file AbstractParameters.cpp.
      
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  virtual | 
Virtual destructor.
Definition at line 33 of file AbstractParameters.cpp.
      
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  pure virtual | 
Create a clone copy of this instance.
Implemented in te::rp::TiePointsLocator::OutputParameters, te::rp::TiePointsLocator::InputParameters, te::rp::Segmenter::OutputParameters, te::rp::SequenceMosaic::OutputParameters, te::rp::Classifier::OutputParameters, te::rp::MixtureModel::OutputParameters, te::rp::Contrast::OutputParameters, te::rp::Skeleton::OutputParameters, te::rp::TiePointsMosaic::OutputParameters, te::rp::Filter::OutputParameters, te::rp::IHSFusion::OutputParameters, te::rp::Segmenter::InputParameters, te::rp::GeoMosaic::OutputParameters, te::rp::Register::OutputParameters, te::rp::Skeleton::InputParameters, te::rp::Classifier::InputParameters, te::rp::SequenceMosaic::InputParameters, te::rp::Contrast::InputParameters, te::rp::MixtureModel::InputParameters, te::rp::TiePointsMosaic::InputParameters, te::rp::Filter::InputParameters, te::rp::IHSFusion::InputParameters, te::rp::SegmenterRegionGrowingStrategy::Parameters, te::cl::KMeans< TTRAIN, TCLASSIFY >::Parameters, te::rp::GeoMosaic::InputParameters, te::rp::Register::InputParameters, te::rp::ClassifierSAMStrategy::Parameters, te::rp::ClassifierEMStrategy::Parameters, te::rp::ClassifierMAPStrategy::Parameters, te::cl::Dummy< TTRAIN, TCLASSIFY >::Parameters, te::rp::ClassifierKMeansStrategy::Parameters, te::rp::ClassifierISOSegStrategy::Parameters, te::rp::MixtureModelLinearStrategy::Parameters, te::rp::MixtureModelPCAStrategy::Parameters, te::gm::GTParameters, and te::rp::ClassifierDummyStrategy::Parameters.
Referenced by te::rp::Segmenter::InputParameters::operator=(), te::rp::Classifier::InputParameters::setClassifierStrategyParams(), te::rp::MixtureModel::InputParameters::setMixtureModelStrategyParams(), te::gm::GTParameters::setModelParameters(), and te::rp::Segmenter::InputParameters::setSegStrategyParams().
      
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  pure virtual | |||||||||||||
Clear all internal allocated resources and reset the parameters instance to its initial state.
Implemented in te::rp::TiePointsLocator::OutputParameters, te::rp::TiePointsLocator::InputParameters, te::rp::Segmenter::OutputParameters, te::rp::SequenceMosaic::OutputParameters, te::rp::Classifier::OutputParameters, te::rp::MixtureModel::OutputParameters, te::rp::Contrast::OutputParameters, te::rp::Skeleton::OutputParameters, te::rp::TiePointsMosaic::OutputParameters, te::rp::Filter::OutputParameters, te::rp::IHSFusion::OutputParameters, te::rp::Segmenter::InputParameters, te::rp::GeoMosaic::OutputParameters, te::rp::Register::OutputParameters, te::rp::Skeleton::InputParameters, te::rp::Classifier::InputParameters, te::rp::SequenceMosaic::InputParameters, te::rp::Contrast::InputParameters, te::rp::MixtureModel::InputParameters, te::rp::TiePointsMosaic::InputParameters, te::rp::Filter::InputParameters, te::rp::IHSFusion::InputParameters, te::rp::SegmenterRegionGrowingStrategy::Parameters, te::cl::KMeans< TTRAIN, TCLASSIFY >::Parameters, te::rp::ClassifierSAMStrategy::Parameters, te::rp::ClassifierEMStrategy::Parameters, te::rp::GeoMosaic::InputParameters, te::rp::Register::InputParameters, te::rp::ClassifierMAPStrategy::Parameters, te::cl::Dummy< TTRAIN, TCLASSIFY >::Parameters, te::rp::ClassifierKMeansStrategy::Parameters, te::rp::ClassifierISOSegStrategy::Parameters, te::gm::GTParameters, te::rp::MixtureModelLinearStrategy::Parameters, te::rp::MixtureModelPCAStrategy::Parameters, and te::rp::ClassifierDummyStrategy::Parameters.